Elements of tourist demand for tourism-related performing arts based on online reviews and the Kano model

With the rapid development of immersive tourism-related performance arts, identifying tourists’ needs has become crucial for product optimization and service refinement. Taking “Unique Henan · Land of Drama” as a case, this study uses Latent Dirichlet Allocation topic analysis and the Kano model to construct a demand analysis framework for tourism-related performance products based on online reviews. Using text mining and fine-grained sentiment analysis, we extract 11 core experience elements. We also establish a Kano classification structure comprising scenic area, theater, main creator and cultural connotation(attractive attributes), ticket (must-be attribute), location and performance comparison (indifferent attributes), drama, management service, tourist and experience quality (one-dimensional attributes). Our findings reveal a hierarchy of tourist demands in tourism-related performance arts and their differentiated mechanisms. On that basis, we propose a product optimization path.